Shivam

Frontend Developer

https://www.opentalent.in/shivam-8

🍌

New Delhi, Delhi, IndiaMember since June 15, 2026

Key Strengths

Demonstrated interest in Frontend development through the 'Streamy' project using MERN stack.
Proficiency in core web technologies: JavaScript, HTML, CSS.
Strong foundational programming skills evidenced by 'JavaScript_DSA' and 'JavaScript_deep_dive' repositories.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards self-learning and personal project development, which aligns with a culture of continuous improvement. The diversity of projects, spanning frontend, data structures, and machine learning, indicates a broad curiosity and willingness to explore different technical domains. However, the primary focus on personal projects without team-based experience might require evaluation of collaboration skills.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are not provided.

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Projects

ML_learning_journey

January 29, 2026 – Present

A repository of python programs written while practicing ML. The programs includes libraries such as: sklearn, numpy, pandas, etc.

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math_scribble

January 24, 2026 – Present

This repository contains my learning journey of implementing math with AI.

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JavaScript_DSA

November 21, 2024 – November 21, 2024

This repository is a step-by-step guide through various DSA concepts, developed and organized in JavaScript. Each file demonstrates a specific problem-solving approach, helping to strengthen foundational programming skills and algorithmic thinking. Updates and new implementations will be added regularly.

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JavaScript_deep_dive

November 21, 2024 – November 21, 2024

A journey into mastering JavaScript: This repository contains my projects, experiments, and notes as I learn JavaScript deeply, covering fundamental concepts to advanced techniques.

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Linear_models

November 19, 2024 – November 19, 2024

This repository contains implementations of various linear models used in machine learning. It serves as a hands-on resource for understanding and applying linear regression, logistic regression, and other related techniques to real-world datasets.

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Telecom_churn_prediction

September 30, 2024 – September 30, 2024

Prediction of whether a customer will churn or not using MLR model.

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Binomial-Distribution

September 27, 2024 – September 27, 2024

Visualization of binomial distribution using matplotlib.

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Python_Play

September 6, 2024 – September 8, 2024

Practice of advance python, a deep dive.

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NLP_practice

April 2, 2024 – April 3, 2024

Getting hands dirty with NLP projects.

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Streamy

August 7, 2020 – September 24, 2020

A responsive live streaming app made with MERN stack.

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Key Strengths

Demonstrated interest in Frontend development through the 'Streamy' project using MERN stack.
Proficiency in core web technologies: JavaScript, HTML, CSS.
Strong foundational programming skills evidenced by 'JavaScript_DSA' and 'JavaScript_deep_dive' repositories.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are not provided.

Shivam

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit